A way of resolving spreading code mismatches in blind multiuser detection with a particle swarm optimization （PSO） approach is proposed. It has been shown that the PSO algorithm incorporating the linear system of th...A way of resolving spreading code mismatches in blind multiuser detection with a particle swarm optimization （PSO） approach is proposed. It has been shown that the PSO algorithm incorporating the linear system of the decorrelating detector, which is termed as decorrelating PSO （DPSO）, can significantly improve the bit error rate （BER） and the system capacity. As the code mismatch occurs, the output BER performance is vulnerable to degradation for DPSO. With a blind decorrelating scheme, the proposed blind DPSO （BDPSO） offers more robust capabilities over existing DPSO under code mismatch scenarios.展开更多
盲自适应多用户检测器只需知道期望用户的扩频码及定时信息 ,就可以实现对多址干扰的有效抑制。本文提出了一种基于 TH ( Tank and Hopfield)神经网络的盲多用户检测器 ,通过采用 TH神经网络来计算检测器的最优权值 ,从而提高了检测器...盲自适应多用户检测器只需知道期望用户的扩频码及定时信息 ,就可以实现对多址干扰的有效抑制。本文提出了一种基于 TH ( Tank and Hopfield)神经网络的盲多用户检测器 ,通过采用 TH神经网络来计算检测器的最优权值 ,从而提高了检测器的收敛速度。仿真实验的结果表明这一方法具有良好的多址干扰抑制能力。展开更多
基金supported by the NSC under Grant No.NSC 101-2221-E-275-007
文摘A way of resolving spreading code mismatches in blind multiuser detection with a particle swarm optimization （PSO） approach is proposed. It has been shown that the PSO algorithm incorporating the linear system of the decorrelating detector, which is termed as decorrelating PSO （DPSO）, can significantly improve the bit error rate （BER） and the system capacity. As the code mismatch occurs, the output BER performance is vulnerable to degradation for DPSO. With a blind decorrelating scheme, the proposed blind DPSO （BDPSO） offers more robust capabilities over existing DPSO under code mismatch scenarios.
文摘盲自适应多用户检测器只需知道期望用户的扩频码及定时信息 ,就可以实现对多址干扰的有效抑制。本文提出了一种基于 TH ( Tank and Hopfield)神经网络的盲多用户检测器 ,通过采用 TH神经网络来计算检测器的最优权值 ,从而提高了检测器的收敛速度。仿真实验的结果表明这一方法具有良好的多址干扰抑制能力。
